Data
ESL

ESL

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Author: Source: Unknown - Date unknown Please cite: 1. Title: Employee Selection (Ordinal ESL) 2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel abendav@hait.ac.il Owner: Yoav Ganzah Business Administration School Tel Aviv Univerity Ramat Aviv 69978 Israel 3. Past Usage: 4. Relevant Information The ESL data set contains 488 profiles of applicants for certain industrial jobs. Expert psychologists of a recruiting company, based upon psychometric test results and interviews with the candidates, determined the values of the input attributes. The output is the an overall score corresponding to the degree of fitness of the candidate to this type of job. 5. Number of Instances: 488 6. Number of Attributes: 4 input, 1 output. 7. Attribute Information: All input and output values are ORDINAL. 8. Missing Attribute Values: None. 9. Class Distribution:

5 features

out1 (target)numeric9 unique values
0 missing
in1numeric10 unique values
0 missing
in2numeric10 unique values
0 missing
in3numeric7 unique values
0 missing
in4numeric7 unique values
0 missing
Show all 5 features

19 properties

NumberOfInstances
488
Number of instances (rows) of the dataset.
NumberOfFeatures
5
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
5
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
-0.51
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0.01
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties

13 tasks

Supervised Regression on ESL
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: out1
Supervised Regression on ESL
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: out1
Clustering on ESL
0 runs - estimation_procedure: 50 times Clustering
Clustering on ESL
0 runs
Clustering on ESL
0 runs - estimation_procedure: 50 times Clustering
Clustering on ESL
0 runs - estimation_procedure: 50 times Clustering
Clustering on ESL
0 runs - estimation_procedure: 50 times Clustering
Clustering on ESL
0 runs - estimation_procedure: 50 times Clustering
Clustering on ESL
0 runs - estimation_procedure: 50 times Clustering
Clustering on ESL
0 runs - estimation_procedure: 50 times Clustering
Clustering on ESL
0 runs - estimation_procedure: 50 times Clustering
Clustering on ESL
0 runs - estimation_procedure: 50 times Clustering
Clustering on ESL
0 runs - estimation_procedure: 50 times Clustering
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